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A fuzzy maintainability allocation method for NC machine tools based on interval analysis

机译:基于区间分析的数控机床模糊可维护性分配方法

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In the process of maintainability allocation of numerical control (NC) machine tools, many influence factors should be considered, and some of which are difficult to analyze quantitatively. In order to solve the above-mentioned problem, this paper proposed a new method for maintainability allocation, which comprehensively applied interval analysis, fuzzy comprehensive evaluation, and analytic hierarchy process (AHP). The allocation model is built which can make use of the test information and expert's experience comprehensively. Meanwhile, as the information carried by a single real number is always incomplete, interval number is used instead of real number to construct judgment matrix. Finally, the method is illustrated with an example, and the maintainability indexes of all subsystems are obtained as well. The analysis results show that the method is a feasible method for the maintainability allocation of NC machine tools. It could solve the uncertainty problem of maintainability allocation for NC machine tools effectively.
机译:在数控机床的可维护性分配过程中,应考虑许多影响因素,其中一些因素难以定量分析。为了解决上述问题,本文提出了一种可维护性分配的新方法,该方法综合应用了区间分析,模糊综合评价和层次分析法。建立了可以充分利用测试信息和专家经验的分配模型。同时,由于单个实数所携带的信息总是不完整,因此使用区间数代替实数来构造判断矩阵。最后,通过实例说明了该方法,并获得了所有子系统的可维护性指标。分析结果表明,该方法是数控机床维修性分配的一种可行方法。它可以有效地解决数控机床可维护性分配的不确定性问题。

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